the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Atmospheric Radiation Measurement (ARM) airborne field campaign data products between 2013 and 2018
Abstract. Airborne measurements are pivotal for providing detailed, spatiotemporally resolved information about atmospheric parameters, and aerosol and cloud properties, thereby enhancing our understanding of dynamic atmospheric processes. For 30 years, the U.S. Department of Energy (DOE) Office of Science supported an instrumented Gulfstream-1 (G-1) aircraft for atmospheric field campaigns. Data from the final decade of G-1 operations were archived by the Atmospheric Radiation Measurement (ARM) user facility Data Center and made publicly available at no cost to all registered users. To ensure a consistent data format and to improve the accessibility of the ARM airborne data, an integrated dataset was recently developed covering the final six years of G-1 operations (2013 to 2018). The integrated dataset includes data collected from 236 flights (766.4 hours), which covered the Arctic, the U.S. Southern Great Plains (SGP), the U.S. West Coast, the Eastern North Atlantic (ENA), the Amazon Basin in Brazil, and the Sierras de Córdoba range in Argentina. These comprehensive data streams provide much-needed insight into spatiotemporal variability of thermodynamic quantities, aerosol and cloud states and properties for addressing essential science questions in Earth system process studies. This manuscript describes the DOE ARM merged G-1 datasets, including information on the acquisition, collection, and quality control processes. It further illustrates the usage of this merged dataset to evaluate the Energy Exascale Earth System Model (E3SM) with the Earth System Model Aerosol-Cloud Diagnostics (ESMAC Diags) package.
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RC1: 'Comment on essd-2024-97', Anonymous Referee #1, 19 Aug 2024
This paper describes a combined dataset of observations from several ARM campaigns. The data are from aircraft observations and include thermodynamic, dynamic, cloud, aerosol, and gas-phase measurements. The instrumentation and the dataset are described clearly, and several example figures are shown. A combined dataset like this one is useful to achieve continued, high-quality, and repeatable science.
Minor comments: Line 167 should reference Figure 3, not 4. The text on Figures 4 and 5 should be larger.
Citation: https://doi.org/10.5194/essd-2024-97-RC1 -
AC1: 'Reply on RC2', Fan Mei, 20 Sep 2024
We sincerely appreciate the reviewer’s comments and suggestions. We have revised the manuscript and corrected the Figure number and also updated Figures 4 and 5.
Citation: https://doi.org/10.5194/essd-2024-97-AC1
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AC1: 'Reply on RC2', Fan Mei, 20 Sep 2024
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RC2: 'Comment on essd-2024-97', Anonymous Referee #2, 02 Sep 2024
The manuscript gives an overview of the detailed data collected during those seven field campaigns by the ARM program and how airborne measurements catch the atmosphere's detailed atmospheric processes. A data set integrated from these campaigns is an important resource for the study of various atmospheric phenomena but more so for aerosols, clouds, and trace gases. The authors have indeed succeeded in compiling, standardizing, and making these datasets available, which will support ongoing and future research in our community. Overall, this manuscript is well-organized and of clear scientific significance. I want to give him some advice:
1. The manuscript may benefit from more discussions of the limitations and uncertainties associated with the data, particularly regarding the comparison between airborne and ground-based measurements. While the paper touches on the challenges of comparing these two types of measurements, a more thorough exploration of the potential biases introduced by differences in spatial and temporal resolution would help us understand more about the dataset.
2. The discussion of data quality could also include the differences and specific challenges between different field campaigns. For instance, variations in environmental conditions across different campaigns may have unique limitations in data collection and processing.
3. The manuscript adds more case studies or examples of how the dataset has been or could be used in specific research applications, which would provide practical context for its utility in past research.
4. The manuscript may discuss the potential for future updates or expansions of the dataset, including the incorporation of additional variables or the development of new analytical tools to enhance its utility.
Citation: https://doi.org/10.5194/essd-2024-97-RC2 -
AC1: 'Reply on RC2', Fan Mei, 20 Sep 2024
We sincerely appreciate the reviewer’s comments and suggestions. We have revised the manuscript and corrected the Figure number and also updated Figures 4 and 5.
Citation: https://doi.org/10.5194/essd-2024-97-AC1 - AC2: 'Reply on RC2', Fan Mei, 20 Sep 2024
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AC1: 'Reply on RC2', Fan Mei, 20 Sep 2024
Status: closed
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RC1: 'Comment on essd-2024-97', Anonymous Referee #1, 19 Aug 2024
This paper describes a combined dataset of observations from several ARM campaigns. The data are from aircraft observations and include thermodynamic, dynamic, cloud, aerosol, and gas-phase measurements. The instrumentation and the dataset are described clearly, and several example figures are shown. A combined dataset like this one is useful to achieve continued, high-quality, and repeatable science.
Minor comments: Line 167 should reference Figure 3, not 4. The text on Figures 4 and 5 should be larger.
Citation: https://doi.org/10.5194/essd-2024-97-RC1 -
AC1: 'Reply on RC2', Fan Mei, 20 Sep 2024
We sincerely appreciate the reviewer’s comments and suggestions. We have revised the manuscript and corrected the Figure number and also updated Figures 4 and 5.
Citation: https://doi.org/10.5194/essd-2024-97-AC1
-
AC1: 'Reply on RC2', Fan Mei, 20 Sep 2024
-
RC2: 'Comment on essd-2024-97', Anonymous Referee #2, 02 Sep 2024
The manuscript gives an overview of the detailed data collected during those seven field campaigns by the ARM program and how airborne measurements catch the atmosphere's detailed atmospheric processes. A data set integrated from these campaigns is an important resource for the study of various atmospheric phenomena but more so for aerosols, clouds, and trace gases. The authors have indeed succeeded in compiling, standardizing, and making these datasets available, which will support ongoing and future research in our community. Overall, this manuscript is well-organized and of clear scientific significance. I want to give him some advice:
1. The manuscript may benefit from more discussions of the limitations and uncertainties associated with the data, particularly regarding the comparison between airborne and ground-based measurements. While the paper touches on the challenges of comparing these two types of measurements, a more thorough exploration of the potential biases introduced by differences in spatial and temporal resolution would help us understand more about the dataset.
2. The discussion of data quality could also include the differences and specific challenges between different field campaigns. For instance, variations in environmental conditions across different campaigns may have unique limitations in data collection and processing.
3. The manuscript adds more case studies or examples of how the dataset has been or could be used in specific research applications, which would provide practical context for its utility in past research.
4. The manuscript may discuss the potential for future updates or expansions of the dataset, including the incorporation of additional variables or the development of new analytical tools to enhance its utility.
Citation: https://doi.org/10.5194/essd-2024-97-RC2 -
AC1: 'Reply on RC2', Fan Mei, 20 Sep 2024
We sincerely appreciate the reviewer’s comments and suggestions. We have revised the manuscript and corrected the Figure number and also updated Figures 4 and 5.
Citation: https://doi.org/10.5194/essd-2024-97-AC1 - AC2: 'Reply on RC2', Fan Mei, 20 Sep 2024
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AC1: 'Reply on RC2', Fan Mei, 20 Sep 2024
Data sets
ARM airborne field campaign data products aboard Gulfstream 159 Fan Mei and Krista Gaustad https://www.doi.org/10.5439/1999133
ARM airborne field campaign data products aboard Gulfstream 159 Fan Mei and Krista Gaustad https://adc.arm.gov/essd/AAF_integrated_data/
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